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Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Caledonia County, VT

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Caledonia County, VT
Series ID MHICILBVT50005A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:53 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 22151
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25587
1994-01-01 .
1995-01-01 26577
1996-01-01 .
1997-01-01 28639
1998-01-01 29904
1999-01-01 31468
2000-01-01 33072
2001-01-01 32408
2002-01-01 32749
2003-01-01 34007
2004-01-01 34831
2005-01-01 33678
2006-01-01 36946
2007-01-01 37927
2008-01-01 38636
2009-01-01 40565
2010-01-01 36937
2011-01-01 40407
2012-01-01 39238
2013-01-01 39868
2014-01-01 42363
2015-01-01 43535
2016-01-01 45091
2017-01-01 42144
2018-01-01 46089
2019-01-01 47076
2020-01-01 45758
2021-01-01 55026
2022-01-01 55896

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